Publication:
Model Selection in Stochastic Frontier Analysis with an Application to Maize Production in Kenya

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dc.contributor.authorLiu, Yanyan
dc.contributor.authorMyers, Robert
dc.date.accessioned2012-03-30T07:29:23Z
dc.date.available2012-03-30T07:29:23Z
dc.date.issued2009
dc.description.abstractThis paper shows how to compute the standard errors for partial effects of exogenous firm characteristics influencing firm inefficiency under a range of popular stochastic frontier model specifications. We also develop an R[superscript 2]-type measure to summarize the overall explanatory power of the exogenous factors on firm inefficiency. The paper also applies a recently developed model selection procedure to choose among alternative stochastic frontier specifications using data from household maize production in Kenya. The magnitude of estimated partial effects of exogenous household characteristics on inefficiency turns out to be very sensitive to model specification, and the model selection procedure leads to an unambiguous choice of best model. We propose a bootstrapping procedure to evaluate the size and power of the model selection procedure. The empirical application also provides further evidence on how household characteristics influence technical inefficiency in maize production in developing countries.en
dc.identifier.citationJournal of Productivity Analysis
dc.identifier.issn0895562X
dc.identifier.urihttps://hdl.handle.net/10986/4715
dc.language.isoEN
dc.relation.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/igo
dc.rights.holderWorld Bank
dc.subjectProduction
dc.subjectCost
dc.subjectCapital, Total Factor, and Multifactor Productivity
dc.subjectCapacity D240
dc.subjectEconomic Development: Agriculture
dc.subjectNatural Resources
dc.subjectEnergy
dc.subjectEnvironment
dc.subjectOther Primary Products O130
dc.subjectAgriculture: Aggregate Supply and Demand Analysis
dc.subjectPrices Q110
dc.subjectMicro Analysis of Farm Firms, Farm Households, and Farm Input Markets Q120
dc.subjectAgricultural R&D
dc.subjectAgricultural Technology
dc.subjectAgricultural Extension Services Q160
dc.titleModel Selection in Stochastic Frontier Analysis with an Application to Maize Production in Kenyaen
dc.title.alternativeJournal of Productivity Analysisen
dc.typeJournal Articleen
dc.typeArticle de journalfr
dc.typeArtículo de revistaes
dspace.entity.typePublication
okr.doctypeJournal Article
okr.externalcontentExternal Content
okr.identifier.externaldocumentum1160
okr.journal.nbpages33-46
okr.language.supporteden
okr.peerreviewAcademic Peer Review
okr.region.countryKenya
okr.relation.associatedurlhttp://dx.doi.org/10.1007/s11123-008-0111-9
okr.relation.associatedurlhttp://search.ebscohost.com/login.aspx?direct=true&db=eoh&AN=1026255&site=ehost-live
okr.relation.associatedurlhttp://www.springerlink.com/link.asp?id=100296
okr.volume31
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